Meng Dai

3.8k total citations
137 papers, 2.6k citations indexed

About

Meng Dai is a scholar working on Electrical and Electronic Engineering, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Meng Dai has authored 137 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Electrical and Electronic Engineering, 30 papers in Surgery and 25 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Meng Dai's work include Electrical and Bioimpedance Tomography (56 papers), Hemodynamic Monitoring and Therapy (21 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (18 papers). Meng Dai is often cited by papers focused on Electrical and Bioimpedance Tomography (56 papers), Hemodynamic Monitoring and Therapy (21 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (18 papers). Meng Dai collaborates with scholars based in China, Germany and United States. Meng Dai's co-authors include Min Xu, Xiuzhen Dong, Yufang Bi, Canhua Xu, Feng Fu, Guang Ning, Yu Xu, Tiange Wang, Weiqing Wang and Jieli Lu and has published in prestigious journals such as The Lancet, Nature Communications and Journal of the American College of Cardiology.

In The Last Decade

Meng Dai

129 papers receiving 2.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Meng Dai China 29 692 526 471 467 409 137 2.6k
Chih‐Yu Yang Taiwan 27 210 0.3× 289 0.5× 482 1.0× 186 0.4× 212 0.5× 137 2.4k
Kazuhiro Shimizu Japan 29 482 0.7× 164 0.3× 381 0.8× 269 0.6× 89 0.2× 225 3.2k
Chan Joo Lee South Korea 27 351 0.5× 174 0.3× 294 0.6× 231 0.5× 280 0.7× 180 2.9k
Yidan Zhang China 28 173 0.3× 215 0.4× 461 1.0× 306 0.7× 206 0.5× 224 3.0k
Subhankar Chowdhury India 29 237 0.3× 534 1.0× 446 0.9× 95 0.2× 1.3k 3.2× 247 3.5k
Kazuya Murata Japan 29 144 0.2× 435 0.8× 381 0.8× 95 0.2× 315 0.8× 176 2.8k
Akira Kurita Japan 33 415 0.6× 174 0.3× 1.3k 2.8× 486 1.0× 118 0.3× 226 4.6k
Satoshi Suzuki Japan 37 157 0.2× 409 0.8× 453 1.0× 191 0.4× 302 0.7× 185 4.3k
Eue‐Keun Choi South Korea 47 245 0.4× 844 1.6× 761 1.6× 1.1k 2.4× 338 0.8× 299 7.5k
Daniël De Wolf Belgium 37 328 0.5× 1.8k 3.4× 1.1k 2.3× 327 0.7× 175 0.4× 182 5.0k

Countries citing papers authored by Meng Dai

Since Specialization
Citations

This map shows the geographic impact of Meng Dai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Meng Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meng Dai more than expected).

Fields of papers citing papers by Meng Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Meng Dai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Meng Dai. The network helps show where Meng Dai may publish in the future.

Co-authorship network of co-authors of Meng Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Meng Dai. A scholar is included among the top collaborators of Meng Dai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Meng Dai. Meng Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Pu, et al.. (2025). An explainable artificial intelligence framework for weaning outcomes prediction using features from electrical impedance tomography. Computer Methods and Programs in Biomedicine. 267. 108811–108811. 1 indexed citations
2.
Qu, Shuoyao, Daoyin Dong, Lin Yang, et al.. (2025). Early screening of lung function by electrical impedance tomography in people with normal spirometry reveals unrecognized pathological features. Nature Communications. 16(1). 622–622. 10 indexed citations
3.
Yang, Lin, Xinsheng Cao, Hang Wang, et al.. (2024). Electrical impedance tomography as a bedside assessment tool for COPD treatment during hospitalization. Frontiers in Physiology. 15. 1352391–1352391. 8 indexed citations
4.
Liang, Peng, Meng Dai, Xiao Wang, et al.. (2023). Efficacy and safety of ciprofol vs. propofol for the induction and maintenance of general anaesthesia. European Journal of Anaesthesiology. 40(6). 399–406. 52 indexed citations
5.
Zhang, Weirui, Xuechao Liu, Meng Dai, et al.. (2022). Multifrequency Magnetic Induction Tomography for Hemorrhagic Stroke Detection Using an Adaptive Threshold Split Bregman Algorithm. IEEE Transactions on Instrumentation and Measurement. 71. 1–13. 14 indexed citations
6.
Zheng, Ruizhi, Mian Li, Min Xu, et al.. (2021). Chinese Adults Are More Susceptible to Effects of Overall Obesity and Fat Distribution on Cardiometabolic Risk Factors. The Journal of Clinical Endocrinology & Metabolism. 106(7). e2775–e2788. 10 indexed citations
7.
Yang, Lin, et al.. (2021). A Wireless, Low-Power, and Miniaturized EIT System for Remote and Long-Term Monitoring of Lung Ventilation in the Isolation Ward of ICU. IEEE Transactions on Instrumentation and Measurement. 70. 1–11. 15 indexed citations
8.
Zhang, Weirui, Xuechao Liu, Bin Yang, et al.. (2021). Target Adaptive Differential Iterative Reconstruction (TADI): A Robust Algorithm for Real-Time Electrical Impedance Tomography. IEEE Access. 9. 141999–142011. 11 indexed citations
9.
10.
Zhang, Chao, Meng Dai, Wei Liu, et al.. (2018). Global and regional degree of obstruction determined by electrical impedance tomography in patients with obstructive ventilatory defect. PLoS ONE. 13(12). e0209473–e0209473. 10 indexed citations
11.
Wang, Long, Mian Li, Zhiyun Zhao, et al.. (2018). Ideal Cardiovascular Health Is Inversely Associated with Nonalcoholic Fatty Liver Disease: A Prospective Analysis. The American Journal of Medicine. 131(12). 1515.e1–1515.e10. 29 indexed citations
12.
Ding, Lin, Yu Xu, Limin Wang, et al.. (2016). Smoking and Its Relation to Metabolic Status among Chinese Adults: Analysis of a Nationwide Survey. PubMed. 29(9). 619–627. 10 indexed citations
13.
Ding, Lin, Yu Xu, Limin Wang, et al.. (2016). The cardiometabolic risk profile of Chinese adults with diabetes: A nationwide cross-sectional survey. Journal of Diabetes and its Complications. 31(1). 43–52. 8 indexed citations
14.
Wang, Tiange, Yu Xu, Min Xu, et al.. (2015). Awareness, treatment and control of cardiometabolic disorders in Chinese adults with diabetes: a national representative population study. Cardiovascular Diabetology. 14(1). 28–28. 8 indexed citations
15.
Bi, Yufang, Limin Wang, Yu Xu, et al.. (2015). Diabetes-related metabolic risk factors in internal migrant workers in China: a national surveillance study. The Lancet Diabetes & Endocrinology. 4(2). 125–135. 34 indexed citations
16.
Yang, Bin, Xuetao Shi, Meng Dai, et al.. (2013). Real-time imaging of cerebral infarction in rabbits using electrical impedance tomography. Journal of International Medical Research. 42(1). 173–183. 17 indexed citations
17.
Dai, Meng. (2012). Image colorization based on total variation and partial differential equation. Jisuanji gongcheng yu sheji. 1 indexed citations
18.
Dai, Meng. (2011). Study on Realistic Skull Model in Electrical Impedance Tomography. Chinese Medical Equipment Journal. 1 indexed citations
19.
Dai, Meng & Jiajun Lin. (2008). Steganalysis Based on the Rough Set Attribute Reduction. Huadong Li-Gong Daxue xuebao. 2 indexed citations
20.
Dai, Meng. (2007). Relationship between expressions of PTEN and HIF-1α in adenoendometrial carcinoma. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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